Smoqi, Ziyad, Gaikwad, Aniruddha, Bevans, Benjamin, Kobir, Md Humaun, Craig, James, Abul-Haj, Alan, Peralta, Alonso, and Rao, Prahalada. Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning. Retrieved from https://par.nsf.gov/biblio/10320570. Journal of Materials Processing Technology 304.C Web. doi:10.1016/j.jmatprotec.2022.117550.

Smoqi, Ziyad, Gaikwad, Aniruddha, Bevans, Benjamin, Kobir, Md Humaun, Craig, James, Abul-Haj, Alan, Peralta, Alonso, & Rao, Prahalada. Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning. Journal of Materials Processing Technology, 304 (C). Retrieved from https://par.nsf.gov/biblio/10320570. https://doi.org/10.1016/j.jmatprotec.2022.117550

Smoqi, Ziyad, Gaikwad, Aniruddha, Bevans, Benjamin, Kobir, Md Humaun, Craig, James, Abul-Haj, Alan, Peralta, Alonso, and Rao, Prahalada. "Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning". Journal of Materials Processing Technology 304 (C). Country unknown/Code not available. https://doi.org/10.1016/j.jmatprotec.2022.117550. https://par.nsf.gov/biblio/10320570.

@article{osti_10320570,
place = {Country unknown/Code not available}, title = {Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning}, url = {https://par.nsf.gov/biblio/10320570}, DOI = {10.1016/j.jmatprotec.2022.117550}, abstractNote = {}, journal = {Journal of Materials Processing Technology}, volume = {304}, number = {C}, author = {Smoqi, Ziyad and Gaikwad, Aniruddha and Bevans, Benjamin and Kobir, Md Humaun and Craig, James and Abul-Haj, Alan and Peralta, Alonso and Rao, Prahalada}, }